A new fast track-fit algorithm based on broken lines
A new fast track-fit algorithm based on broken lines
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DOI：
10.1016/j.nima.2006.05.156
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发表时间：
2006-10-01
影响因子：
1.4
通讯作者：
Blobel, V.
中科院分区：
文献类型：
--
作者：
Blobel, V.
在高能物理实验中，带电粒子动量的确定需要对跟踪室中测量的点进行参数化拟合。一种新的非递归跟踪拟合算法的基础上虚线允许重建的粒子轨迹考虑到多次散射的细节。它提供了最佳的参数和它们的协方差矩阵在跟踪开始和结束，和最佳值在每个测量点沿着的轨迹，包括方差。轨迹的参数化允许使用稀疏矩阵技术，总计算时间与数据点的数量成正比。在测试条件下，新算法被发现是6倍的速度比卡尔曼滤波器。(c)2006 Elsevier B.V.保留所有权利。
The determination of the charged particle momentum in HEP experiments requires a fit of a parametrization to the points measured in a tracking chamber. A new non-recursive track-fit algorithm based on broken lines allows to reconstruct the particle trajectory taking into account details of multiple scattering. It provides optimal parameters and their covariance matrices at track start and end, and optimal values at each measured point along the trajectory including the variances. The parametrization of the trajectory allows the use of sparse-matrix techniques with a total computing time proportional to the number of data points. Under test conditions the new algorithm is found to be six times faster than the Kalman filter. (c) 2006 Elsevier B.V. All rights reserved.